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seaborn heatmap parameters

Darkstar answered on August 23, 2021 Popularity 10/10 Helpfulness 5/10

answer seaborn heatmap parameters

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seaborn heatmap parameters

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# seaborn heatmap best parameter
plt.figure(figsize=(20,8))
sns.heatmap(corr, vmax=1, vmin=-1, center=0,
			linewidth=.5,square=True, annot = True,
            annot_kws = {'size':8},fmt='.1f', cmap='BrBG_r', ax=ax1,  # ax: use this when using subplot
            cbar_kws = dict(use_gridspec=False,location="top", shrink=0.9)) # cbar_kws: for positioning cbar and "shrink" for reducing cbar size
plt.title('Correlation')
plt.show()

Popularity 10/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: heatmap parameters python seaborn

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Contributed on Aug 23 2021

Darkstar

0 Answers Avg Quality 2/10

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import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
# See heatmap
df_crosstab = pd.crosstab(df["cat_colx"], df["cat_coly"],
                values=df["num_col"], aggfunc="mean")
sns.heatmap(df_crosstab, annot=True, fmt="d", cmap="YlGnBu", 
                cbar=False, linewidths=.5, center=df_crosstab.loc[9, 6])
# See heatmap of correlation
sns.heatmap(df.corr(), cmap='YlGnBu')
# Rotate tick marks for visibility
plt.yticks(rotation=0)
plt.xticks(rotation=90)
plt.show() #Show the plot

Popularity 10/10 Helpfulness 5/10 Language python

Source: Grepper

Tags: heatmap

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Contributed on Nov 15 2023

Innocent Iguana

0 Answers Avg Quality 2/10

seaborn heatmap parameters

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